Dose-Response Analysis Using R

被引:2331
|
作者
Ritz, Christian [1 ]
Baty, Florent [2 ]
Streibig, Jens C. [3 ]
Gerhard, Daniel [4 ]
机构
[1] Univ Copenhagen, Dept Nutr Exercise & Sports, DK-1958 Frederiksberg C, Denmark
[2] Kantonsspital St Gallen, Pneumol, CH-9007 St Gallen, Switzerland
[3] Univ Copenhagen, Dept Plant & Environm Sci, DK-2630 Taastrup, Denmark
[4] Univ Canterbury, Sch Math & Stat, Christchurch 8140, New Zealand
来源
PLOS ONE | 2015年 / 10卷 / 12期
关键词
NONLINEAR-REGRESSION; SIMULTANEOUS INFERENCE; MODEL; TRANSFORMATIONS; BIOASSAY; POTENCY; PACKAGE; GROWTH;
D O I
10.1371/journal.pone.0146021
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides a flexible and versatile infrastructure for dose-response analyses in general. The present version of the package, reflecting extensions and modifications over the last decade, provides a user-friendly interface to specify the model assumptions about the dose-response relationship and comes with a number of extractors for summarizing fitted models and carrying out inference on derived parameters. The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.
引用
收藏
页数:13
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